Affiliation:
1. Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
2. Department of Urology and Paediatric Urology, University Hospital Essen, Essen, Germany
Abstract
Background Diffusion-weighted imaging (DWI) is routinely used in magnetic resonance imaging (MRI) of prostate cancer. However, the routine use of b values higher than 1000 s/mm2 is not clear up to present. Moreover, the complex diffusion behavior of malignant and benign prostate tissues hampers precise predictions of contrast in DWI images and apparent diffusion coefficient (ADC) maps. Purpose To quantitatively analyze DWI with different b values in prostate cancer and to identify b values best suitable for cancer detection. Material and Methods Forty-one patients with histologically proven prostate cancer were examined with high resolution T2-weighted imaging and DWI at 3 Tesla. Five different b values (0, 800, 1000, 1500, 2000 s/mm2) were applied. ADC values of tumors and reference areas were measured on ADC maps derived from different pairs of b values. Furthermore, signal intensities of DW images of tumors and reference areas were measured. For analysis, contrast ratios of ADC values and signal intensities of DW images were calculated and compared. Results No significant differences were found between contrast ratios measured on ADC maps of all analyzed b value pairs ( P = 0.43). Contrast ratios calculated from signal intensities of DW images were highest at b values of 1500 and 2000 s/mm2 and differed significantly from contrast ratios at b values of 800 and 1000 s/mm2 ( P < 0.01). Conclusion Whereas contrast in ADC maps does not significantly change with different b values, contrast ratios of DW images are significantly higher at b-values of 1500 and 2000 s/mm2 in comparison to b values of 800 and 1000 s/mm2. Therefore, diagnostic performance of DWI in prostate cancer might be increased by application of b values higher than 1000 s/mm2.
Subject
Radiology, Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology
Cited by
31 articles.
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